MétaCan
Menu
Back to cohort
Record W2066371572 · doi:10.3171/jns.2000.92.1.0156

Infantile hemangioendothelioma of the pericranium presenting as an occipital mass lesion

2000· review· en· W2066371572 on OpenAlexaff
Carlos Gilberto Carlotti, Venita Jay, James T. Rutka

Bibliographic record

VenueJournal of neurosurgery · 2000
Typereview
Languageen
FieldMedicine
TopicVascular Tumors and Angiosarcomas
Canadian institutionsHospital for Sick Children
Fundersnot available
KeywordsMedicineOccipital boneSkullLesionMagnetic resonance imagingHemangioendotheliomaRadiologyAnatomyDural venous sinusesMass/lesionPosterior fossaPathologySurgery

Abstract

fetched live from OpenAlex

The case of a newborn infant with a large midline mass in the occipital region is presented. Skull x-ray films demonstrated multiple radiolucent defects in the occipital bone. A computerized tomography scan revealed an extracranial mass lesion with marked contrast enhancement. A magnetic resonance image demonstrated that the venous drainage of the lesion passed through the occipital bone into the dural venous sinuses. The anatomy of the hindbrain was normal. The neonate was treated by complete surgical removal of the mass. The histopathological diagnosis was infantile hemangioendothelioma, a tumor commonly found in the liver but rarely in this location. The classification, histopathological characteristics, imaging studies, and treatment of this tumor are discussed.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.948
Threshold uncertainty score0.806

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.003
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.042
GPT teacher head0.326
Teacher spread0.283 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreReview

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations8
Published2000
Admission routes1
Has abstractyes

Explore more

Same venueJournal of neurosurgerySame topicVascular Tumors and AngiosarcomasFrench-language works237,207